PROLOG and Natural Language Analysis
PROLOG and Natural Language Analysis
A non-projective dependency parser
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Towards history-based grammars: using richer models for probabilistic parsing
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Statistical decision-tree models for parsing
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Head automata and bilingual tiling: translation with minimal representations
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Computational complexity of probabilistic disambiguation by means of tree-grammars
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Robustness beyond shallowness: incremental deep parsing
Natural Language Engineering
Probabilistic models for PP-attachment resolution and NP analysis
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
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A generative statistical model of dependency syntax is proposed based on Tesnière's classical theory. It provides a stochastic formalization of the original model of syntactic structure and augments it with a model of the string realization process, the latter which is lacking in Tesnière's original work. The resulting theory models crossing dependency links, discontinuous nuclei and string merging, and it has been given an efficient computational rendering.